AI Governance and Ethics Framework for Sustainable AI and Sustainability

Authors: Mahendra Samarawickrama

Published: 2022-09-28 22:23:10+00:00

AI Summary

This paper proposes an AI governance and ethics framework for sustainable AI development. The framework emphasizes human ethics, social justice, and the United Nations Sustainable Development Goals (SDGs) to mitigate risks associated with AI's autonomous decision-making capabilities.

Abstract

AI is transforming the existing technology landscape at a rapid phase enabling data-informed decision making and autonomous decision making. Unlike any other technology, because of the decision-making ability of AI, ethics and governance became a key concern. There are many emerging AI risks for humanity, such as autonomous weapons, automation-spurred job loss, socio-economic inequality, bias caused by data and algorithms, privacy violations and deepfakes. Social diversity, equity and inclusion are considered key success factors of AI to mitigate risks, create values and drive social justice. Sustainability became a broad and complex topic entangled with AI. Many organizations (government, corporate, not-for-profits, charities and NGOs) have diversified strategies driving AI for business optimization and social-and-environmental justice. Partnerships and collaborations become important more than ever for equity and inclusion of diversified and distributed people, data and capabilities. Therefore, in our journey towards an AI-enabled sustainable future, we need to address AI ethics and governance as a priority. These AI ethics and governance should be underpinned by human ethics.


Key findings
The proposed framework and models help organizations structure AI governance, aligning with ESG principles and SDGs. Emphasis on diversity, equity, and inclusion is crucial for mitigating bias and achieving social justice. The approach addresses the complexity of AI governance by focusing on the interconnectedness of AI, organizations, society, and sustainability.
Approach
The paper presents a KITE abstraction framework and a wind-turbine model for AI governance. These tools guide organizations in addressing the 'why,' 'how,' and 'what' of AI initiatives, promoting alignment with ESG principles and SDGs while mitigating bias through diversity, equity, and inclusion.
Datasets
UNKNOWN
Model(s)
UNKNOWN
Author countries
Australia